The First ACM/IEEE Workshop on Digital Twins (DT)

Call for Papers

The ACM/IEEE Workshop on Digital Twins aims to bring together researchers, practitioners, and industry experts to explore the latest developments in digital twin technology and edge computing, and to discuss the challenges and opportunities that arise from their convergence. Digital twin technology is an emerging paradigm that involves the creation of a high-fidelity virtual replica of a physical system or process. This virtual replica can be used for simulation, prediction, optimization, and control, among other applications. The integration of digital twin and edge computing offers a promising solution for a wide range of domains, such as manufacturing, transportation, energy, healthcare, and smart cities. However, this integration also poses several technical and practical challenges, such as scalability, interoperability, data management, security, and privacy. The workshop will be co-located with the Eighth ACM/IEEE Symposium on Edge Computing (SEC), December 6-9, 2023, in Wilmington, DE, USA.

Topics of interest include but are not limited to:

  • Digital twin with cloud/edge computing
  • Digital twin networks
  • AI and machine learning for digital twin
  • Digital twin for immersive and high-fidelity simulations
  • Data-Driven digital twin modeling
  • Digital twin for industrial IoT, smart cities, and intelligent vehicles
  • Digital twin as an enabler of 5G/6G applications and services
  • Digital twin infrastructure and implementation
  • Security and privacy in digital twin
  • Integration of Digital Twin and Metaverse/AR/VR

Submission Guidelines

Papers describing timely research contributions in DT’s areas of interest are solicited. Papers reporting on initial results or work in progress and papers discussing mature research projects or case studies of deployed systems are sought out. Submissions describing big ideas that may have a significant impact and could lead to interesting discussions at the workshop are encouraged.

Authors should follow the IEEE guidelines when preparing their contributions (maximum paper length: 6 pages with 10-pt font:

Submission website:

At least one of the authors of each paper accepted for the DT Workshop 2023 must register for the workshop.

Important Dates

Deadline for Submission: July 21, 2023  August 20, 2023 hard deadline

Notifications of Acceptance: September 22, 2023

Camera-ready Paper Submission: October 6, 2023

Workshop Date: December 9, 2023

Workshop Organizers:

Workshop co-chairs

Haoxin Wang, Georgia State University, USA

Kyungtae Han, Toyota Motor North America, USA

Ziran Wang, Purdue University, USA

Technical Program Committee Chair:

Moinul Hossain, George Mason University

Qiang Liu, University of Nebraska-Lincoln

BaekGyu Kim, Daegu Gyeongbuk Institute of Science and Technology

Dawei Chen, Toyota Motor North America

Yongkang Liu, Toyota Motor North America

Haoxin Wang, Georgia State University, USA

Kyungtae Han, Toyota Motor North America, USA

Ziran Wang, Purdue University, USA

Zhihao Jiang, ShanghaiTech University